In this final assignment I used dataset Boston from the R package MASS. I chose variable related to crime rate per capita was as independent variable and took a look into how it could be explained with three other variables: proportion of non-retail business acres, full-value property-tax rate and index of accessibility to radial highway. I used linear and logistic regression were, and both gave the same result that only index of accessibility to radial highway is affecting crime rate. Data was transformed for logistic regreassion and used as it is for linear regression.
Welcome to the page! This is an essential part of my final assignment to the course “Introduction to Open Data Science”, or as we friends call it “IODS” course. My name is Laura Matkala and I am a PhD student who studies forests. I have to say this is one of the most inspiring courses I have taken in a while. I will do my best with all the new skills I have learned during the course to make a best possible outcome for this assignment!
knitr::include_graphics('C:/HY-Data/MATKALA/GitHub/IODS-final/figures/49.jpg')